\begin{table}[H]
     \caption{Heterogeneity: Copartisan Sender}
     \label{tab:copartisan}  
     \begin{center}
     \begin{adjustbox}{max width=1\textwidth}
     \begin{tabular}{l ccccc}
     \toprule %%%%%%%%%%%%%%%%%%%%%%%%%
     &  \multicolumn{3}{c}{Updating} & \multicolumn{2}{c}{Credibility} \\
     \midrule %%%%%%%%%%%%%%%%%%%%%%%%% 
Distance & -0.04 & -0.53 & -1.50 & -0.20$^{**}$ & -0.83$^{**}$  \\ 
  & (0.07) & (0.31) & (0.79) & (0.06) & (0.26)  \\ 
 \addlinespace[0.2cm] Distance$^2$ &   & 0.16 & 0.94 &   & 0.21$^{*}$  \\ 
  &   & (0.10) & (0.59) &   & (0.08)  \\ 
 \addlinespace[0.2cm] Distance$^3$ &   &   & -0.17 &   &    \\ 
  &   &   & (0.13) &   &    \\ 
 \addlinespace[0.2cm] Copartisan $\times$ Distance & -0.15 & -0.18 & 0.57 & 0.10 & 0.63  \\ 
  & (0.11) & (0.43) & (1.05) & (0.09) & (0.35)  \\ 
 \addlinespace[0.2cm] Copartisan $\times$ Distance$^2$ &   & 0.01 & -0.62 &   & -0.18  \\ 
  &   & (0.14) & (0.82) &   & (0.11)  \\ 
 \addlinespace[0.2cm] Copartisan $\times$ Distance$^3$ &   &   & 0.14 &   &    \\ 
  &   &   & (0.18) &   &    \\ 
 \addlinespace[0.2cm] Copartisan & 0.26 & 0.28 & 0.10 & 0.65$^{***}$ & 0.40  \\ 
  & (0.19) & (0.28) & (0.36) & (0.16) & (0.23)  \\ 
 \addlinespace[0.2cm] Prior = Prediction (Dummy) & -0.62 & -0.89$^{*}$ & -1.05$^{**}$ & 0.27 & 0.09  \\ 
  & (0.33) & (0.36) & (0.39) & (0.26) & (0.28)  \\ 
 \addlinespace[0.2cm] \midrule AIC & 20515 & 20514 & 20516 & 18819 & 18816 \\ 
Observations & 4026 & 4026 & 4026 & 4031 & 4031 \\ 
\bottomrule %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    \end{tabular}
    \end{adjustbox}
    \caption*{\footnotesize{\textbf{Note:} OLS estimates with robust standard errors within parentheses. Higher values for updating implies manufacturing job increases and higher values for credibility means more credible predictions.  \\\hspace{\textwidth}
    $^* p <0.05, ^{**} p<0.01, ^{***} p<0.001$}}
    \end{center}
    \end{table}